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《Geo-Information Science》 2006-02
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GRID Services for Large Scale Elevation Derivatives Computation

ZHANG Lili, ZHU Jiang, ZENG Zhiming, CAO Guofeng (Institute of Geographic Science, and Natural Resource Research, CAS, Beijing 100101, China)  
Analysis of automatically extracting terrain features based on Digital Elevation Model (DEM) such as slope gradient, slope aspect, curvature, flow paths and delineate drainage networks, is always a kind of fundamental work for many geoscientists. Shuttle Radar Topography Mission (SRTM), which produced a near global scope database of high accuracy elevation data, offers an opportunity to extend terrain analysis from local to global. However, it is a major disincentive for geoscientist to deal with massive DEM data even in a limited interesting research area. Grid Services for Elevation Derivatives (GSED) is proposed for spatial data dissemination and continental-scale topographic analysis computation based on DEM. The architecture of GSED is presented in the paper and unique problems that appear in the computing test are elaborated. Automation topographic factor extraction from SRTM is carried out through GSED. Traditional sequential algorithm has been reorganized to adapt to the distributed computing environment. Tibetan Plateau is selected as the focus area, and preliminary result is established for comparison with GTOP030. The result confirms that GSED is an effective method to solve the problem of high throughput computation with large scale geographic data.
【Fund】: 863计划课题“面向网络海量空间信息的大型GIS”(课题号:2003AA133020)
【CateGory Index】: P208
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